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Human group behavior is the driving force behind many complex social and economic phenomena. Few studies have integrated multi-dimensional travel patterns and city interest points to construct urban security risk indicators. This paper combines traffic data and urban alarm data to analyze the safe travel characteristics of the urban population. The research results are helpful to explore the diversity of human group behavior, grasp the temporal and spatial laws and reveal regional security risks. It provides a reference for optimizing resource deployment and group intelligence analysis in emergency management.

Based on the dynamics index of group behavior, this paper mines the data of large shared bikes and ride-hailing in a big city of China. We integrate the urban interest points and travel dynamic characteristics, construct the urban traffic safety index based on alarm behavior and further calculate the urban safety index.

This study found significant differences in the travel power index among ride-sharing users. There is a positive correlation between user shared bike trips and the power-law bimodal phenomenon in the logarithmic coordinate system. It is closely related to the urban public security index.

Based on group-shared dynamic index integrated alarm, we innovatively constructed an urban public safety index and analyzed the correlation of travel alarm behavior. The research results fully reveal the internal mechanism of the group behavior safety index and provide a valuable supplement for the police intelligence analysis.

Although team reflexivity has been identified as a potent tool for improving organizational performance, how and when it influences individual employee innovative behavior remains theoretically and conceptually underspecified. Taking a knowledge management perspective, this study aims to investigate the role of team-level knowledge sharing and leadership in transforming team reflexivity into innovative behavior at the individual level.

The paper follows a multilevel study design to collect data (n = 441) from 91 teams in 48 knowledge-based organizations. The paper tests our multilevel model using multinomial logistic techniques.

The overall results confirm that knowledge sharing in teams mediates the influence of team reflexivity on individual employee innovative behavior, and that leadership plays an important role in moderating these influences. Specifically, authoritarian leadership is found to attenuate the team reflexivity and knowledge sharing effect, whereas benevolent leadership is found to amplify this indirect effect.

The multilevel study design that explains how team-level processes translate into innovative behavior at the individual employee level is novel. Relatedly, our use of a multilevel analytical framework is also original.

Based on goal orientation theory, this study aims to examine how and when employees' performance goal orientations (PGOs) affect their change-supportive behavior in entrepreneurial firms undergoing change.

A two-wave time-lagged research design was applied to collect data from companies undergoing change in China.

The results showed that employees' performance-proving goal orientation (PPGO) was positively related to change-supportive behavior, and employees' performance-avoiding goal orientation (PAGO) was negatively related to change-supportive behavior. Openness to change played a mediating role in these mechanisms, and employees' learning goal orientation (LGO) played a moderating role.

By solving the mechanism of the relationship between PGOs and change-supportive behavior that has not been explored before, this study answers the question of how and when different PGOs affect support behavior.

This study examines the impact of response time on user experience for mobile applications and considers the moderating influence of gender and network environment on this relationship.

An experiment was conducted with 50 young adults to evaluate their user experience of a mobile application that simulates variations in network environment and response time. User experience was evaluated based on the three constituent dimensions of tolerance, acceptance, and satisfaction.

Analytical results demonstrate that response time not only adversely affects user experience of mobile applications, but that this effect is not homogeneous across the three dimensions of tolerance, acceptance and satisfaction. The findings also illustrate that gender moderates the effect of response time on user experience, however, the negative influence is more salient for males than females, which is opposite to our hypothesis. The joint moderating influence of gender and network environment turned out to be partly significant.

By illuminating users' tolerance, acceptance, and satisfaction with varied response times, findings from this study can inform the design of mobile applications such that desired levels of user experience can be assured with minimum resources.

Although response time has been hailed as a key determinant of user experience for desktop applications, there is a paucity of studies that have investigated the impact of response time on user experience for mobile applications. Furthermore, prior research on response time neglects the multi-dimensional nature of user experience. This study bridges the above mentioned knowledge gaps by delineating user experience into its constituent dimensions and clarifying the effects of response time on each of these dimensions.

This article presents an introduction to the Delphi method and review of Delphi studies published in the literature of library and information science (LIS).

A review of Delphi studies published between the years of 1971 and 2019 is performed, using studies retrieved from the Library and Information Science Source database. A total of 122 articles were retrieved and evaluated based on the population studied, means of identifying experts, number of participants for each study round, type of Delphi, and type of findings.

General librarians (any type), academic librarians, and information science researchers are the most common populations in LIS Delphi studies. On average (middle 50 percent of studies), 14–36 experts are used in the first round of LIS Delphi studies (median n = 23). Employment in a specific role and publications in scholarly journals are the most common means of identifying experts. Variants of the e-Delphi (online survey/email) method are increasingly common, particularly in LIS Delphi studies that focus on general information science, rather than library, topics. Though LIS Delphi studies are relatively few in number, they have a consistent record of being published in some of the most prestigious LIS journals.

This paper provides an introduction to the Delphi method for LIS research and presents an overview of existing literature in LIS that utilizes the research method. No overview of this extent exists in the LIS literature, and, thus, this paper may serve as an important information source about the method for LIS researchers.

The purpose of this paper is to discuss some of the implications of policies, practices and new “non‐equilibrium” management approaches in mobile grassland management.

The author takes an actor‐oriented perspective on the narrative of land‐use practices, notional sustainable stocking rates and the problematic of state policy interventions in local context. The paper is based on two years in the field on a bilateral aid‐funded grassland management project at Xing'an League, Inner Mongolia and follow‐up among selected informants.

The constitution of grasslands “degradation” is in fact contested by resource users. Most grassland scientists, Party and Government officials in China have tended to associate ethnic “minority” mobile pastoralists with destructive cultural practices that, they argue, have led to ecological decline on the steppes. This argument is integral to the “degradation narrative” that underpins the discourse on grassland science. The conventional bio‐ecology emphasis on species dominance (growth‐form), in fact says little about the extent of anthropogenic impacts on above‐ground biomass and whether these factors have been the cause of degradation. The paper suggests that greater consideration is given to specific changes in human activity, climatic and plant productivity over time and space, based on endogenous, flexible seasonal estimates.

Although presenting challenges to conventional grassland science based on endogenous experiences and herder practices, it may have specific geopolitical limits to more general scaling‐up in different contexts.

The paper discusses new modalities of non‐equilibrium grassland management, inverting normative top‐down approaches to controlling environmental degradation, livestock distribution and stocking rates.

The paper suggests rethinking the use of customary practices, vernacular knowledge and the social organisation of herders in the design of sustainable grassland management.

The paper may be valuable to practitioners, rural development planners, funders and researchers interested in the use of integrated, cross‐disciplinary, new ecological knowledge in grassland management.